Radars for autonomous driving: A review of deep learning methods and challenges

A Srivastav, S Mandal - IEEE Access, 2023 - ieeexplore.ieee.org
Radar is a key component of the suite of perception sensors used for safe and reliable
navigation of autonomous vehicles. Its unique capabilities include high-resolution velocity …

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

JCP Cheng, M Wang - Automation in Construction, 2018 - Elsevier
Sanitary sewer systems are designed to collect and transport sanitary wastewater and
stormwater. Pipe inspection is important in identifying both the type and location of pipe …

[HTML][HTML] Autonomous Forklifts: State of the Art—Exploring Perception, Scanning Technologies and Functional Systems—A Comprehensive Review

MA Fraifer, J Coleman, J Maguire, P Trslić, G Dooly… - Electronics, 2025 - mdpi.com
This paper presents a comprehensive overview of cutting-edge autonomous forklifts, with a
strong emphasis on sensors, object detection and system functionality. It aims to explore …

Requirements of AGV (automated guided vehicle) for SMEs (small and medium-sized enterprises)

HW Cheong, H Lee - Procedia computer science, 2018 - Elsevier
Humanity is witnessing the next generation industrial revolution, so-called the fourth
industrial revolution. In the fourth industrial revolution era, the high level of ICTs (Information …

Application of the chosen multi-criteria decision-making methods to identify the autonomous train system supplier

O Stopka, M Stopková, V Lupták, S Krile - Transport problems, 2020 - yadda.icm.edu.pl
This paper addresses an application of the specific methods of multi-criteria decision
analysis to specify the appropriate supplier of an autonomous train in a certain production …

Multi-modal variational faster r-cnn for improved visual object detection in manufacturing

P Mouzenidis, A Louros… - Proceedings of the …, 2021 - openaccess.thecvf.com
Visual object detection is a critical task for a variety of industrial applications, such as robot
navigation, quality control and product assembling. Modern industrial environments require …

Fusion drive: End-to-end multi modal sensor fusion for guided low-cost autonomous vehicle

I Kang, R Cimurs, JH Lee, IH Suh - 2020 17th International …, 2020 - ieeexplore.ieee.org
In this paper, we present a supervised learning-based mixed-input sensor fusion neural
network for autonomous navigation on a designed track referred to as Fusion Drive. The …